AI Agents
LLM
Loop Engineering
Explore Loop Engineering as the evolution of prompt engineering, enabling AI agents to execute goal-driven workflows with tool access, feedback, and …
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Python
Google Cloud
Set up your development environment for building long-running AI agents with Google's ADK, Python, and Google Cloud, ensuring a solid foundation for …
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LLMs
Loop Engineering
Explore 'loop engineering' for AI agents, moving beyond prompt engineering. Learn to architect goal-driven execution loops, integrate tools, manage …
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Python
AI Agents
Learn how to set up and run a basic, stateless AI agent using Google's Agent Development Kit (ADK) as the foundation for long-running systems.
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LLMs
API Integration
Explore loop engineering, the evolution from prompt engineering, focusing on how AI agents integrate tools, APIs, and feedback into goal-driven, …
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Python
Google Cloud
Design and implement robust context preservation and resume capabilities for long-running AI agents using Google ADK and external state stores like …
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LLMs
Loop Engineering
Explore multi-agent systems and hierarchical architectures in 'loop engineering', transforming LLM prompts into robust, autonomous workflows with tool …
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AI Agent
Tools
Equip your ADK agent with external tools and orchestrate complex, multi-step workflows, leveraging persistent state for robust, intelligent behavior.
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Python
Docker
Learn how to containerize your Google ADK agent using Docker for enhanced portability, scalability, and consistent deployment across environments.
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Autonomous Workflows
LLMs
Explore the architectural considerations for deploying and managing autonomous AI agent workflows, including infrastructure choices, scaling …
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Loop Engineering
Scalability
Explore scaling, resilience, and cost optimization for AI agents, transforming prompt engineering into robust, production-grade autonomous workflows …
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Google Cloud
Cloud Run
Deploy your long-running Google ADK agent to Google Cloud Run, implement secure secret management, and configure logging and monitoring for production …
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Observability
Security
Understand how to implement robust observability, security, and access control for autonomous AI agent workflows, covering logging, monitoring, …
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Loop Engineering
Prompt Engineering
Explore loop engineering as the evolution of prompt engineering for autonomous AI agents, covering goal-driven loops, tool access, testing, feedback, …
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LLMs
Autonomous Systems
Explore loop engineering, the evolution from prompt engineering, to build production-grade autonomous AI agent workflows with goal-driven loops, tool …
ACCESS_FILE >>Google ADK
Python
Google Cloud
Learn to build robust, long-running AI agents using Google ADK, capable of persisting state and context, allowing for pause, resume, and recovery.
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